Comments (1)
ravinkohli
commented on June 11, 2024
Hi,
I am not sure I understand what you are saying. estimator.get_search_space(dataset).get_default_configuration() samples a single configuration from the full search space. But its a single configuration and not necessarily the best configuration. You can get the best configuration by searching over the full search space which you can check with estimator.get_search_space(dataset). AutoPyTorch will by default search over this search space. You dont have to pass any search space updates, unless you want to change specific hyperparameters. Let me know if you still need help with this.
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Related Issues (20)
- [Time series Forecasting] Continuous Ranked Probablity Score (CRPS) loss for probablity network ouput type HOT 2
- Improve `include_components` documentation HOT 1
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- Errors on running example_tabular_classification.py HOT 1
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